Specialty
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The role
The company is hiring a Senior AI Data & Analytics Engineer II for its Marketing Data and Analytics Engineering team. You would build the Databricks data foundation behind self-serve analytics and AI agents for marketing and go-to-market. The role is open to candidates residing in the US.
What you will do
- Define the roadmap for the marketing data and AI foundation with BI and data science peers.
- Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables and core data models.
- Build semantic layers and data documentation that support self-serve BI and conversational analytics.
- Turn business questions from Marketing, Sales and R&D into requirements and scalable solutions.
- Build AI-enabled data products and agents, and automate manual workflows with AI.
- Lead cross-team initiatives, mentor engineers and set code review standards.
What they ask for
- 8+ years in data, analytics or AI engineering, with deep hands-on data engineering.
- Expert Python and SQL, with strong data modeling and dbt experience.
- Experience with data warehouse and lakehouse architectures and Databricks, Snowflake or BigQuery.
- Experience building semantic layers and documentation for AI ingestion.
- Regular use of agentic coding tools, with ownership of verifying their output.
- Experience building, evaluating and monitoring LLM or agent systems in production.
- Track record of leading cross-team data projects and supporting Marketing, Sales or Product teams.
- Residing in the US.
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.